Ubiquitous Computing

Focus:

Computing as environmental process and environment as computing devices. Computational devices become ever smaller, distributed and increasingly integrated into the surroundings; they disappear into environment with only the user interface remaining perceivable for users. Ubicomp studies both intrinsic computing, as it appears in nature, and designed computing, that converges towards ambient intelligence. Research has human-centric focus with emphasis on interaction; user experience and cognitive support that alleviates users informational overload as well as extend cognition.


Ubiquitous computing (ambient computing) is an emerging research field based on a new concept of computing as a part of users environment. Unlike previous forms of computing: mainframes, PC s, and present day distributed computing, ubiquitous computing can be implemented using variety of devices and formats available throughout the physical environment, deeply embedding computation in the world thus making them effectively invisible to the user (Mark Weiser). Envisaged Ubicomp technologies supporting ambient intelligence are embedded, adaptive, anticipatory and context aware.

Read more on UBICOMP at:

http://ubiquity.acm.org/ ACM journal Ubiquity covers both natural as well as designed ubiquitous computing.

http://www.nyteknik.se/nyheter/it_telekom/allmant/article230491.ece Ny Teknik article (in Swedish)

http://www.ubicomp.org/

[Show all publications]

DAT (Dec 2024)
Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab
Sensors (MDPI Sensors)

Computational Natural Philosophy: A Thread from Presocratics Through Turing to ChatGPT (Nov 2024)
Gordana Dodig-Crnkovic
Model-Based Reasoning, Abductive Cognition, Creativity. ​Inferences and Models in Science, Logic, Language, and Technology (SAPERE-MBR-2024)

Autonomous Agents, Cognition and Intelligence (Nov 2024)
Gordana Dodig-Crnkovic
Autonomous Agents, Cognition and Intelligence (SWECOG-2024)

TrajectoryNAS (Sep 2024)
Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab
Sensors (SENSC9)

Contrastive Learning for Lane Detection via cross-similarity (Sep 2024)
Ali Zoljodi , Sadegh Abadijou , Mina Alibeigi , Masoud Daneshtalab
Pattern Recognition (PR)

AI for People and with People Workshop (Dec 2023)
Gordana Dodig-Crnkovic
Conference on Human-Agent Interaction (HAI 2023)

Gordana Dodig-Crnkovic, Professor

Email: gordana.dodig-crnkovic@mdu.se
Room: U1-106
Phone: +46 73 662 05 11